Applied Science Manager, Safe Autonomy, SAF Lab

## Responsibilities - Manage a team of scientists and engineers developing a universal safety layer for robotic systems, with a focus on the next generation of robots - Work with leadership to design and execute multi-year research roadmaps for the development of safe autonomy that spans all types of current and emerging robotic platforms - Lead Scientists, Engineers, post-docs and interns to realize research and development goals and provide evidence of these results in a variety of formats - Drive integration of control barrier functions with planning, perception and learning while maintaining guarantees of safe high-performance robot behavior - Collaborate with product teams and science leaders to set a science roadmap (with eventual impact on real robots) - Publish research findings at top-tier conferences and contribute to the broader robotics community - Build relationships with academic and industry partners to stay at the forefront of safe autonomy ## Requirements - PhD in Engineering, Technology, Science, Operations Research, Robotics, Mathematics or related fields - Experience in demonstrating research to complex hardware platforms or product development in robotics, autonomous systems, or related fields - Experience managing, developing and leading teams - Track record of research that has the potential to translate to production systems - Track record of publications in top-tier conferences in robotics and control (RSS, ICRA,IROS, CoRL, NeurIPS, ICML, TRO, CDC, ACC, RAL, CSL) or patents in robotics and autonomy - Deep expertise and technical understanding of robotics concepts for sensing, perception, planning, and control. - Deep understanding of the formal foundations and experimental deployment of control barrier functions and safety filters on highly dynamic robots of different morphologies - Strong cross-functional collaboration skills and comfort working at the boundary between research and commercial robotics - Experience coordinating teams and stakeholders across geographies - Experience deploying software on diverse robot embodiments ## Nice to Have - Experience with perception and learning as it integrates into robotic systems. - Experience with optimization and control in robotics. - Familiarity with robotics simulation environments (e.g., Isaac Sim, MuJoCo, Drake, OMPL) ## Benefits - Medical, Dental, and Vision Coverage - Maternity and Parental Leave Options - Paid Time Off (PTO) - 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!